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Data Engineer Jobs in Gilbert, AZ (NOW HIRING)

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

They are seeking a highly motivated Data Engineer to design, build, and maintain scalable data integration pipelines within the Azure ecosystem, ensuring high-quality data flows that support ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role GCP Data Engineer Location Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark, Python ...

New

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform & Pipeline Development * Design, develop, and maintain cloud-native data pipelines using Databricks ...

GCP Data Engineer

Phoenix, AZ

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note: Need 12+ years of experience resumes*** Must have: * Strong Experience in Scala, Spark, hive SQL ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

New

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

| GCP Data Engineer | Phoenix, AZ | Contract Opportunity Location: Phoenix, AZ (Onsite/Hybrid) Duration: 12+ Months Experience Required: 5-7+ Years Visa: All Visas Accepted ⚡ Quick Client Feedback ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will cover full systems development life cycle (SDLC) phases including requirements gathering, data ...

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling data access for various use cases and supporting the growth of the company.

We are seeking an experienced GCP Data Engineer to design, build, and optimize our scalable cloud data platform. In this role, you will architect real-time and batch ELT/ETL data pipelines, manage ...

New

Data Engineer

Tempe, AZ · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

GKE Data Engineer

Scottsdale, AZ

$115K - $139K/yr

Gke Data Engineering Lead Our client is in need of a GKE Data Engineering Lead for a 2 year engagement to assist in solutioning the architecture as we transform the rebate processing system from ...

Data Engineer

Chandler, AZ · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Mesa, AZ · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Showing results 21-40

Data Engineer information

See Gilbert, AZ salary details

$44.4K

$129.3K

$177K

How much do data engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data engineer in Gilbert, AZ is $129,334.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,100.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
What are the most commonly searched types of Data Engineer jobs in Gilbert, AZ? The most popular types of Data Engineer jobs in Gilbert, AZ are:
What are popular job titles related to Data Engineer jobs in Gilbert, AZ? For Data Engineer jobs in Gilbert, AZ, the most frequently searched job titles are:
What job categories do people searching Data Engineer jobs in Gilbert, AZ look for? The top searched job categories for Data Engineer jobs in Gilbert, AZ are:
What cities near Gilbert, AZ are hiring for Data Engineer jobs? Cities near Gilbert, AZ with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Gilbert, AZ as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,334 per year, or $62.2 per hour.

Data Engineer

Troon

Scottsdale, AZ • On-site

$115K - $138K/yr

Full-time

Re-posted 6 days ago


Troon rating

6.2

Company rating: 6.2 out of 10

Based on 123 frontline employees who took The Breakroom Quiz

17th of 28 rated golf clubs


Job description

Job Summary:
Troon is the world’s largest professional club management company, specializing in services in golf, hospitality, and residential communities. They are seeking a highly motivated Data Engineer to design, build, and maintain scalable data integration pipelines within the Azure ecosystem, ensuring high-quality data flows that support analytics and reporting.
Responsibilities:
• Design, develop, and maintain end-to-end data pipelines to ingest data from internal and external systems into Azure data platforms
• Build and manage data integration processes using tools such as Azure Data Factory, Azure Synapse, and/or Azure Data Lake
• Implement and enforce medallion architecture (bronze, silver, gold) for structured data refinement and consumption
• Transform raw data into clean, validated, and enriched datasets suitable for analytics and business use
• Develop and optimize data models and transformation logic for performance and scalability
• Integrate data from APIs, SaaS platforms, databases, and third-party systems
• Ensure data quality, consistency, and integrity across all pipeline stages
• Implement monitoring, alerting, and logging for pipeline performance and failures
• Collaborate with data analysts, data scientists, and product teams to support reporting and advanced analytics needs
• Maintain and optimize data storage solutions (e.g., Azure Data Lake, Synapse) for cost and performance efficiency
• Establish and follow best practices for version control, CI/CD, and deployment of data pipelines
• Document data flows, transformations, and system dependencies
Qualifications:
Required:
• 3+ years of experience in data engineering, ETL/ELT development, or data integration
• Hands-on experience building and maintaining production-grade data pipelines
• Experience working within cloud-based data platforms (Azure preferred)
• Strong proficiency in SQL and data transformation techniques
• Experience with Azure data services (Azure Data Factory, Azure Data Lake, Synapse Analytics)
• Expertise in ETL/ELT pipeline design and orchestration
• Strong understanding of data modeling (relational and dimensional)
• Experience working with APIs, file-based ingestion, and streaming data sources
• Knowledge of data quality, validation, and error-handling techniques
• Strong problem-solving and troubleshooting skills
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
Preferred:
• Experience implementing medallion architecture (bronze/silver/gold layers)
• Experience integrating multiple enterprise systems (CRM, ERP, SaaS platforms)
• Experience supporting analytics or BI environments
• Experience with PySpark, Spark, or Databricks
• Familiarity with Delta Lake and lakehouse architectures
• Experience with CI/CD pipelines and DevOps practices in Azure
• Knowledge of data governance, lineage, and cataloging tools
• Experience optimizing performance and cost in cloud environments
Company:
Experience the world of Troon® at the greatest golf properties in the world the next time you play one of our luxury golf courses! Our goal is to create extraordinary guest and member experiences through personalized service, consistency, and uncompromising attention to detail. Founded in 1990, the company is headquartered in Scottsdale, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Troon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Troon Golf logo

About Troon Golf

Sourced by ZipRecruiter

Troon started as one facility in 1990 and has since grown to become the world's largest professional club management company. We offer careers around the world at all levels of golf operations, opportunities for professional development, growth opportunities and a comprehensive benefits package. Our goal is to create extraordinary guest and member experiences through personalized service, consistency, and uncompromising attention to detail. For more information about the Troon Experience, please visit

Industry

Fitness and sports centers, hospitality services and traveler accommodation

Company size

10,000+ Employees

Headquarters location

Scottsdale, AZ, US